• Detection of Pathologies in X-Rays Based on a Deep Learning Framework 

      Camasca, Jhonatan; Calderón Niquin, Marks; Mamani Ticona, Wilfredo (Universidad de Lima, 2021)
      Acceso abierto
      The diagnostic process of respiratory diseases requires experience and skills to assess the different pathologies that patients may develop. Unfortunately, the lack of qualified radiologists is a global problem that ...
    • Semantic Segmentation of Underwater Environments Using DeepLabv3+ and Transfer Learning 

      Chicchón Apaza, Miguel Ángel; Bedón Monzón, Héctor Manuel (Springer, 2022)
      Acceso restringido
      The semantic segmentation approach is essential in automated scene analysis, but its application in underwater environments is still limited. Datasets generally have insufficient labeled data, unbalanced data classes, and ...